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» Unfolding of Microarray Data
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BIOINFORMATICS
2007
50views more  BIOINFORMATICS 2007»
13 years 7 months ago
Exploiting sample variability to enhance multivariate analysis of microarray data
Page 1 of 2Exploiting sample variability to enhance multivariate analysis of microarray data -- Möller-Le... http://bioinformatics.oxfordjournals.org/cgi/content/abstract/23/20/2...
Carla S. Möller-Levet, Catharine M. West, Cri...
DILS
2005
Springer
14 years 1 months ago
Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
Abstract. Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene e...
Jaewoo Kang, Jiong Yang, Wanhong Xu, Pankaj Chopra
KDD
2001
ACM
156views Data Mining» more  KDD 2001»
14 years 8 months ago
Classification of genes using probabilistic models of microarray expression profiles
Paul Pavlidis, Christopher Tang, William Stafford ...
CSB
2004
IEEE
112views Bioinformatics» more  CSB 2004»
13 years 11 months ago
Inferring Genetic Networks from Microarray Data
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...
BMCBI
2005
167views more  BMCBI 2005»
13 years 7 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors